Research Article

Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution

Volume: 4 Number: 1 June 30, 2011
  • Yasemin Gençtürk
  • Tuğba Tunç
  • Duygu İçen
  • Süleyman Günay
EN TR

Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution

Abstract

Good estimates for the tails of loss severity distributions are essentials for pricing or positioning high-excess

loss layers (in reinsurance). Extreme value theory (EVT) provides a framework to formalize the study of

behaviour in the tails of loss severity distributions. In EVT, the excess losses over a high threshold are

modelled using generalized Pareto distribution (GPD). In any data analysis, there are various layers of

uncertainty such as parameter and/or model uncertainty. These uncertainities are magnified in extreme value

analysis. The aim of this study is to obtain fuzzy price for high excess loss layer when GPD provides good

fitting to the tail of claim data. For this purpose, parameters of GPD are estimated using Buckley’s approach

Keywords

References

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  4. J. Beirlant and J. Teugels, 1992, Modelling large claims in non-life insurance, Insurance: Mathematics and Economics, 11, 17-29.
  5. B. Berliner and N. Buehlmann, 1993, A generalization of the fuzzy zooming of cash flows, 3rd AFIR International Colloquium, 2, Roma, 431–456.
  6. J.J. Buckley, 2009, Fuzzy Probability and Statistics, Springer-Verlag, Berlin.
  7. J.D. Cummins and R.A. Derrig, 1993, Fuzzy trends in property-liability insurance claim costs, Journal of Risk and Insurance, 60(3), 429–465.
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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Yasemin Gençtürk This is me
Türkiye

Tuğba Tunç This is me

Süleyman Günay This is me

Publication Date

June 30, 2011

Submission Date

April 1, 2011

Acceptance Date

-

Published in Issue

Year 2011 Volume: 4 Number: 1

APA
Gençtürk, Y., Tunç, T., İçen, D., & Günay, S. (2011). Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution. İstatistikçiler Dergisi:İstatistik Ve Aktüerya, 4(1), 16-30. https://izlik.org/JA43KR62DA
AMA
1.Gençtürk Y, Tunç T, İçen D, Günay S. Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution. JSSA. 2011;4(1):16-30. https://izlik.org/JA43KR62DA
Chicago
Gençtürk, Yasemin, Tuğba Tunç, Duygu İçen, and Süleyman Günay. 2011. “Fuzzy Pricing of High Excess Loss Layer When Modeling the Tail With Generalized Pareto Distribution”. İstatistikçiler Dergisi:İstatistik Ve Aktüerya 4 (1): 16-30. https://izlik.org/JA43KR62DA.
EndNote
Gençtürk Y, Tunç T, İçen D, Günay S (March 1, 2011) Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution. İstatistikçiler Dergisi:İstatistik ve Aktüerya 4 1 16–30.
IEEE
[1]Y. Gençtürk, T. Tunç, D. İçen, and S. Günay, “Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution”, JSSA, vol. 4, no. 1, pp. 16–30, Mar. 2011, [Online]. Available: https://izlik.org/JA43KR62DA
ISNAD
Gençtürk, Yasemin - Tunç, Tuğba - İçen, Duygu - Günay, Süleyman. “Fuzzy Pricing of High Excess Loss Layer When Modeling the Tail With Generalized Pareto Distribution”. İstatistikçiler Dergisi:İstatistik ve Aktüerya 4/1 (March 1, 2011): 16-30. https://izlik.org/JA43KR62DA.
JAMA
1.Gençtürk Y, Tunç T, İçen D, Günay S. Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution. JSSA. 2011;4:16–30.
MLA
Gençtürk, Yasemin, et al. “Fuzzy Pricing of High Excess Loss Layer When Modeling the Tail With Generalized Pareto Distribution”. İstatistikçiler Dergisi:İstatistik Ve Aktüerya, vol. 4, no. 1, Mar. 2011, pp. 16-30, https://izlik.org/JA43KR62DA.
Vancouver
1.Yasemin Gençtürk, Tuğba Tunç, Duygu İçen, Süleyman Günay. Fuzzy pricing of high excess loss layer when modeling the tail with generalized Pareto distribution. JSSA [Internet]. 2011 Mar. 1;4(1):16-30. Available from: https://izlik.org/JA43KR62DA